{"id":267703,"date":"2025-03-12T06:30:00","date_gmt":"2025-03-12T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=267703"},"modified":"2025-04-07T13:54:45","modified_gmt":"2025-04-07T13:54:45","slug":"business-analytics-vs-data-analytics","status":"publish","type":"post","link":"https:\/\/datascientest.com\/business-analytics-vs-data-analytics","title":{"rendered":"Business Analytics vs Data Analytics : quelles diff\u00e9rences et comment choisir ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"267703\" class=\"elementor elementor-267703\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-40c76b8 e-flex e-con-boxed e-con\" data-id=\"40c76b8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-27e6fe2 elementor-widget elementor-widget-text-editor\" data-id=\"27e6fe2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>Dans un monde o\u00f9 les donn\u00e9es sont au c\u0153ur des d\u00e9cisions strat\u00e9giques, business analytics et data analytics sont souvent utilis\u00e9s de mani\u00e8re interchangeable. Pourtant, ces deux disciplines ont des objectifs bien distincts. L\u2019une s\u2019attarde sur la performance et la prise de d\u00e9cision strat\u00e9gique, tandis que l\u2019autre plonge en profondeur dans l\u2019analyse des donn\u00e9es. <\/b><b>Alors, quelle est la diff\u00e9rence entre business analytics et data analytics ? Laquelle choisir selon vos besoins ? Cet article vous guide pas \u00e0 pas pour y voir plus clair.<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b530bad e-flex e-con-boxed e-con\" data-id=\"b530bad\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dbfb3da elementor-widget elementor-widget-heading\" data-id=\"dbfb3da\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">C'est quoi la Business Analytics ?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de301e2 elementor-widget elementor-widget-text-editor\" data-id=\"de301e2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">La business analytics est une discipline qui utilise les donn\u00e9es pour prendre des d\u00e9cisions strat\u00e9giques. Elle repose sur des <\/span><a href=\"https:\/\/datascientest.com\/analyse-predictive\"><span style=\"font-weight: 400;\">analyses pr\u00e9dictives<\/span><\/a><span style=\"font-weight: 400;\">, des <\/span><b>mod\u00e8les statistiques<\/b><span style=\"font-weight: 400;\"> et des outils de <\/span><a href=\"https:\/\/datascientest.com\/avec-la-data-visualisation-donnez-du-sens-a-vos-donnees\"><span style=\"font-weight: 400;\">data visualisation<\/span><\/a><span style=\"font-weight: 400;\"> afin d\u2019aider les entreprises \u00e0 optimiser leurs performances.<\/span><\/p><p><b>Objectif principal : <\/b><span style=\"font-weight: 400;\">pr\u00e9dire et recommander des actions pour am\u00e9liorer <\/span><a href=\"https:\/\/datascientest.com\/strategie-commerciale-tout-savoir\"><span style=\"font-weight: 400;\">la strat\u00e9gie commerciale<\/span><\/a><span style=\"font-weight: 400;\"> et la gestion des ressources.<\/span><\/p><p><b>Exemple : <\/b><span style=\"font-weight: 400;\">Une entreprise de retail utilise la business analytics pour anticiper les tendances de consommation et ajuster ses stocks en fonction des pr\u00e9visions.<\/span><\/p><p><span style=\"font-weight: 400;\">La business analytics va plus loin que l&rsquo;analyse de donn\u00e9es classiques en int\u00e9grant des mod\u00e8les avanc\u00e9s de <\/span><a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\"> et des techniques de simulation pour tester plusieurs sc\u00e9narios possibles. Ainsi, elle permet aux entreprises d&rsquo;anticiper des changements de march\u00e9 et de s&rsquo;adapter rapidement.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da37544 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"da37544\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-business-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apprendre la Business Analytics<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-642b61e e-flex e-con-boxed e-con\" data-id=\"642b61e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ee2b12e elementor-widget elementor-widget-heading\" data-id=\"ee2b12e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Qu\u2019est-ce que la Data Analytics ?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-98dacc2 elementor-widget elementor-widget-text-editor\" data-id=\"98dacc2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>La data analytics (DA)<\/b><span style=\"font-weight: 400;\"> est une discipline plus large qui englobe <\/span><a href=\"https:\/\/datascientest.com\/data-analysis-tout-savoir\"><span style=\"font-weight: 400;\">l\u2019exploration, la transformation et l\u2019interpr\u00e9tation des donn\u00e9es brutes<\/span><\/a><span style=\"font-weight: 400;\">. Il se concentre davantage sur l\u2019analyse descriptive et diagnostic afin d\u2019expliquer ce qui s&rsquo;est pass\u00e9 et pourquoi.<\/span><\/p><p><b>Objectif principal <\/b><span style=\"font-weight: 400;\">: Comprendre les tendances, identifier des mod\u00e8les et extraire des informations exploitables \u00e0 partir des donn\u00e9es.<\/span><\/p><p><b>Exemple :<\/b><span style=\"font-weight: 400;\"> Un site e-commerce utilise la data analytics pour analyser le comportement des utilisateurs et optimiser son <\/span><a href=\"https:\/\/datascientest.com\/aarrr-tout-savoir\"><span style=\"font-weight: 400;\">entonnoir de conversion<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">La data analytics est souvent utilis\u00e9e dans des domaines tels que la recherche scientifique, la finance ou encore la sant\u00e9 pour extraire des insights \u00e0 partir d&rsquo;\u00e9normes ensembles de donn\u00e9es et am\u00e9liorer la compr\u00e9hension des ph\u00e9nom\u00e8nes observ\u00e9s.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53b7b36 elementor-widget elementor-widget-image\" data-id=\"53b7b36\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"448\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_A_close-up_shot_of_a_business_professionals_han_e8bc22f4-4008-497c-a6e6-7666350ab0a2-1024x574.webp\" class=\"attachment-large size-large wp-image-267916\" alt=\"Gros plan sur un ordinateur portable affichant un tableau de bord d\u2019analyse de donn\u00e9es avec des graphiques et des indicateurs de performance cl\u00e9s. L\u2019\u00e9cran met en avant des tendances financi\u00e8res et des statistiques en temps r\u00e9el, illustrant l\u2019importance de la business analytics dans la prise de d\u00e9cision strat\u00e9gique. L\u2019arri\u00e8re-plan est flou, sugg\u00e9rant un environnement de travail moderne et lumineux.\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_A_close-up_shot_of_a_business_professionals_han_e8bc22f4-4008-497c-a6e6-7666350ab0a2-1024x574.webp 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_A_close-up_shot_of_a_business_professionals_han_e8bc22f4-4008-497c-a6e6-7666350ab0a2-300x168.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_A_close-up_shot_of_a_business_professionals_han_e8bc22f4-4008-497c-a6e6-7666350ab0a2-768x430.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_A_close-up_shot_of_a_business_professionals_han_e8bc22f4-4008-497c-a6e6-7666350ab0a2.webp 1456w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72d0538 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"72d0538\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Ma\u00eetriser la Data Analytics<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7adc5c1 e-flex e-con-boxed e-con\" data-id=\"7adc5c1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3064660 elementor-widget elementor-widget-heading\" data-id=\"3064660\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Quelles diff\u00e9rences entre Business Analytics et Data Analytics ?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2ba7d7 elementor-widget elementor-widget-text-editor\" data-id=\"f2ba7d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<table><tbody><tr><td><p><b>Crit\u00e8re<\/b><\/p><\/td><td><p><b>Business Analytics (BA)<\/b><\/p><\/td><td><p><b>Data Analytics (DA)<\/b><\/p><\/td><\/tr><tr><td><p><b>Objectif<\/b><\/p><\/td><td><p><span>Prise de d\u00e9cision strat\u00e9gique<\/span><\/p><\/td><td><p><span>Analyse et interpr\u00e9tation des donn\u00e9es<\/span><\/p><\/td><\/tr><tr><td><p><b>Approche<\/b><\/p><\/td><td><p><span>Pr\u00e9dictive et prescriptive<\/span><\/p><\/td><td><p><span>Descriptive et diagnostique<\/span><\/p><\/td><\/tr><tr><td><p><b>Outils<\/b><\/p><\/td><td><p><a href=\"https:\/\/datascientest.com\/tableau-outil-de-business-intelligence\"><span>Tableau<\/span><\/a><span>, <\/span><a href=\"https:\/\/datascientest.com\/power-bi\"><span>Power BI<\/span><\/a><span>, SAS, <\/span><a href=\"https:\/\/datascientest.com\/sap-entreprise-tout-savoir\"><span>SAP<\/span><\/a><\/p><\/td><td><p><a href=\"https:\/\/datascientest.com\/python-tout-savoir\"><span>Python<\/span><\/a><span>, <\/span><a href=\"https:\/\/datascientest.com\/langage-r-tout-savoir\"><span>R<\/span><\/a><span>, <\/span><a href=\"https:\/\/datascientest.com\/sql-tout-savoir\"><span>SQL<\/span><\/a><span>, Excel<\/span><\/p><\/td><\/tr><tr><td><p><b>Utilisation<\/b><\/p><\/td><td><p><span>Optimisation des performances commerciales<\/span><\/p><\/td><td><p><span>Analyse de donn\u00e9es brutes et d\u00e9tection de tendances<\/span><\/p><\/td><\/tr><tr><td><p><b>Exemples d&rsquo;application<\/b><\/p><\/td><td><p><span>Am\u00e9liorer la strat\u00e9gie marketing, optimiser les ventes<\/span><\/p><\/td><td><p><span>Analyser les comportements clients, d\u00e9tecter des fraudes<\/span><\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4ba7eae e-flex e-con-boxed e-con\" data-id=\"4ba7eae\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-20a07ef elementor-widget elementor-widget-heading\" data-id=\"20a07ef\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Quels sont les types d\u2019analyse utilis\u00e9s ? \n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-805fbdd elementor-widget elementor-widget-text-editor\" data-id=\"805fbdd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Il existe quatre grandes cat\u00e9gories d\u2019analyse qui sont utilis\u00e9es \u00e0 la fois en business analytics et en data analytics :<\/span><\/p><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>L\u2019analyse descriptive<\/strong><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Objectif : R\u00e9sumer <\/span><b>les donn\u00e9es historiques<\/b><span style=\"font-weight: 400;\"> pour comprendre ce qui s\u2019est pass\u00e9.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Exemple : Suivi des ventes mensuelles dans une entreprise.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>L\u2019analyse diagnostique<\/strong><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Objectif : Comprendre les raisons derri\u00e8re un ph\u00e9nom\u00e8ne.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Exemple : Identifier pourquoi <\/span><a href=\"https:\/\/datascientest.com\/gestion-campagne-marketing\"><span style=\"font-weight: 400;\">une campagne marketing<\/span><\/a><span style=\"font-weight: 400;\"> a \u00e9chou\u00e9.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>L\u2019analyse pr\u00e9dictive<\/strong><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Objectif : utiliser les donn\u00e9es pass\u00e9es pour pr\u00e9dire l\u2019avenir.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Exemple : Anticiper la demande d\u2019un produit selon la saisonnalit\u00e9.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>L\u2019analyse prescriptive<\/strong><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Objectif : recommander des actions pour obtenir un r\u00e9sultat optimal.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Exemple : Ajuster<\/span><a href=\"https:\/\/datascientest.com\/supply-chain-tout-savoir\"><span style=\"font-weight: 400;\"> la supply chain<\/span><\/a><span style=\"font-weight: 400;\"> en fonction des pr\u00e9visions de ventes.<\/span><\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f5f22d9 elementor-widget elementor-widget-text-editor\" data-id=\"f5f22d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">La data analytics se concentre principalement sur les deux premi\u00e8res analyses (descriptive et diagnostique), tandis que la business analytics inclut \u00e9galement l\u2019analyse pr\u00e9dictive et prescriptive.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0beb52f elementor-widget elementor-widget-image\" data-id=\"0beb52f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"448\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_ethnic_30_yo_male_data_analyst_sitting_at_a_sle_9e174304-c554-4bf6-bf2e-269e06029f9e-1024x574.webp\" class=\"attachment-large size-large wp-image-267920\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_ethnic_30_yo_male_data_analyst_sitting_at_a_sle_9e174304-c554-4bf6-bf2e-269e06029f9e-1024x574.webp 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_ethnic_30_yo_male_data_analyst_sitting_at_a_sle_9e174304-c554-4bf6-bf2e-269e06029f9e-300x168.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_ethnic_30_yo_male_data_analyst_sitting_at_a_sle_9e174304-c554-4bf6-bf2e-269e06029f9e-768x430.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/dst_acquisition_ethnic_30_yo_male_data_analyst_sitting_at_a_sle_9e174304-c554-4bf6-bf2e-269e06029f9e.webp 1456w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c688fe1 e-flex e-con-boxed e-con\" data-id=\"c688fe1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8ed67d elementor-widget elementor-widget-heading\" data-id=\"d8ed67d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u00c9tudes de cas concrets : \n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9adf7b3 elementor-widget elementor-widget-heading\" data-id=\"9adf7b3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00c9tude de cas 1 : Business Analytics dans l'a\u00e9ronautique\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b4d3c75 elementor-widget elementor-widget-text-editor\" data-id=\"b4d3c75\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Une compagnie a\u00e9rienne utilise des <\/span><b>mod\u00e8les de business analytics<\/b><span style=\"font-weight: 400;\"> pour optimiser la gestion de sa flotte. Gr\u00e2ce \u00e0 <\/span><b>l&rsquo;analyse pr\u00e9dictive<\/b><span style=\"font-weight: 400;\">, elle ajuste ses prix en fonction de la demande et maximise ainsi son taux de remplissage.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">De plus, elle int\u00e8gre <\/span><b>l\u2019analyse prescriptive<\/b><span style=\"font-weight: 400;\"> pour recommander les meilleures routes et \u00e9viter des pertes inutiles, en tenant compte des conditions m\u00e9t\u00e9orologiques et de la consommation de carburant.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c5fccde elementor-widget elementor-widget-heading\" data-id=\"c5fccde\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00c9tude de cas 2 : Data Analytics dans le secteur bancaire\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7347d7c elementor-widget elementor-widget-text-editor\" data-id=\"7347d7c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Une banque applique des algorithmes de <\/span><a href=\"https:\/\/datascientest.com\/data-analysis-tout-savoir\"><span style=\"font-weight: 400;\">data analysis<\/span><\/a><span style=\"font-weight: 400;\"> pour d\u00e9tecter les fraudes en temps r\u00e9el. En analysant des millions de transactions, elle rep\u00e8re les comportements suspects et emp\u00eache les fraudes avant qu&rsquo;elles ne se produisent. Gr\u00e2ce \u00e0 <\/span><b>l\u2019analyse diagnostique<\/b><span style=\"font-weight: 400;\">, elle peut aussi comprendre les causes des fraudes et ajuster ses algorithmes pour les rendre plus performants. En croisant les donn\u00e9es de plusieurs sources, elle identifie les mod\u00e8les de comportement frauduleux et optimise la s\u00e9curit\u00e9 des comptes clients.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a21b2a0 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a21b2a0\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Devenir Data Analyst<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-49a55c8 e-flex e-con-boxed e-con\" data-id=\"49a55c8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8a82347 elementor-widget elementor-widget-heading\" data-id=\"8a82347\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comment choisir entre Business Analytics et Data Analytics ?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec3a68b elementor-widget elementor-widget-text-editor\" data-id=\"ec3a68b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Le choix entre business analytics et data analytics d\u00e9pend de vos objectifs et de votre contexte professionnel :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vous souhaitez am\u00e9liorer la performance de votre entreprise ? Optez pour la business analytics.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vous voulez explorer et comprendre des donn\u00e9es complexes ? Orientez-vous vers la data analytics.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vous avez une entreprise et souhaitez booster vos d\u00e9cisions strat\u00e9giques ? La business analytics sera plus pertinente.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vous \u00eates analyste ou <\/span><a href=\"https:\/\/datascientest.com\/devenir-data-scientist-comment-faire\"><span style=\"font-weight: 400;\">data scientist<\/span><\/a><span style=\"font-weight: 400;\"> et cherchez \u00e0 traiter des donn\u00e9es brutes ? La data analytics est faite pour vous.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vous cherchez \u00e0 d\u00e9velopper une approche hybride ? Certains r\u00f4les combinent les deux, notamment <\/span><b>le Data Analyst Business-Oriented<\/b><span style=\"font-weight: 400;\">, qui utilise des techniques avanc\u00e9es d&rsquo;analyse pour guider la strat\u00e9gie de l&rsquo;entreprise.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4027485 e-flex e-con-boxed e-con\" data-id=\"4027485\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-347a097 elementor-widget elementor-widget-heading\" data-id=\"347a097\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c72a4f elementor-widget elementor-widget-text-editor\" data-id=\"0c72a4f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Si la business analytics et la data analytics sont deux disciplines proches, elles se distinguent par leurs objectifs et leurs m\u00e9thodes. Tandis que l\u2019une se concentre sur la prise de d\u00e9cision strat\u00e9gique, l\u2019autre vise \u00e0 extraire et analyser les donn\u00e9es pour en tirer des enseignements.<\/span><\/p><p><span style=\"font-weight: 400;\">En fonction de vos besoins, vous pourrez choisir l\u2019une ou l\u2019autre\u2026 voire les combiner pour maximiser l\u2019impact de vos analyses de donn\u00e9es ! Les entreprises investissent de plus en plus dans ces domaines pour am\u00e9liorer leur comp\u00e9titivit\u00e9. Comprendre leurs diff\u00e9rences et compl\u00e9mentarit\u00e9s est donc un atout majeur pour les professionnels cherchant \u00e0 \u00e9voluer dans l\u2019univers des donn\u00e9es.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42c9073 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"42c9073\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-business-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Devenir Business Analyst<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-59a76b1 e-flex e-con-boxed e-con\" data-id=\"59a76b1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b02fd01 elementor-widget elementor-widget-html\" data-id=\"b02fd01\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Business Analytics, c\u2019est quoi ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"La business analytics est une discipline qui utilise les donn\u00e9es pour prendre des d\u00e9cisions strat\u00e9giques. Elle repose sur des analyses pr\u00e9dictives, des mod\u00e8les statistiques et des outils de data visualisation afin d\u2019aider les entreprises \u00e0 optimiser leurs performances. Son objectif principal est de pr\u00e9dire et recommander des actions pour am\u00e9liorer la strat\u00e9gie commerciale et la gestion des ressources.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Qu\u2019est-ce que la Data Analytics ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"La data analytics (DA) est une discipline plus large qui englobe l\u2019exploration, la transformation et l\u2019interpr\u00e9tation des donn\u00e9es brutes. 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Certains r\u00f4les combinent m\u00eame les deux approches pour une strat\u00e9gie hybride.\"\r\n      }\r\n    }\r\n  ]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Dans un monde o\u00f9 les donn\u00e9es sont au c\u0153ur des d\u00e9cisions strat\u00e9giques, business analytics et data analytics sont souvent utilis\u00e9s de mani\u00e8re interchangeable. Pourtant, ces deux disciplines ont des objectifs bien distincts. L\u2019une s\u2019attarde sur la performance et la prise de d\u00e9cision strat\u00e9gique, tandis que l\u2019autre plonge en profondeur dans l\u2019analyse des donn\u00e9es. Alors, quelle [&hellip;]<\/p>\n","protected":false},"author":100,"featured_media":267914,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2493,2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Business Analytics vs Data Analytics : quelles diff\u00e9rences et comment choisir ?<\/title>\n<meta name=\"description\" content=\"Dans un monde o\u00f9 les donn\u00e9es sont au c\u0153ur des d\u00e9cisions strat\u00e9giques, business analytics et data analytics sont souvent utilis\u00e9s de mani\u00e8re interchangeable. 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